Analytics Engineer
Core
Design, develop, test, deploy, and monitor high-quality data models and transformation pipelines to enable automation and intelligent prioritization in Revenue Cycle Management (RCM).
Role type
Senior Analytics Engineer (Data Engineering).
Builds
Scalable, maintainable, and reusable data models, macros, testing frameworks, and automation logic for AR Follow-Up workflows.
Domain
Healthcare Revenue Cycle Management (RCM) / Modern Data Stack.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure.
Required skills
dbt, Databricks, Spark, Delta Lake, Advanced SQL, CI/CD, automated testing, modular design, observability, data governance.
Preferred skills
Healthcare RCM data (claims, remittances, denials), AR Follow-Up workflows, automation/rule-based systems, ML feature engineering, regulated industry data governance.
Technologies
dbt, Databricks, Spark, Delta Lake.
Responsibilities
Design and optimize Delta Lake tables and Spark workloads for performance and cost efficiency; Troubleshoot complex data issues across ingestion, transformation, and semantic layers; Collaborate with stakeholders to translate AR workflows into technical designs; Participate in technical design sessions and data architecture reviews; Engage in code reviews to ensure data model quality and mentor engineers; Evaluate emerging tools and frameworks within the modern data ecosystem.
Seniority
Senior, hands-on IC.